task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Video Quality Assessment | KoNViD-1k | HVS-5M | https://arxiv.org/abs/2210.04158v1 | PLCC | 0.8562 |
Video Quality Assessment | KoNViD-1k | FAST-VQA (trained on LSVQ only) | https://arxiv.org/abs/2207.02595v1 | PLCC | 0.855 |
Video Quality Assessment | KoNViD-1k | CONVIQT | https://arxiv.org/abs/2206.14713v1 | PLCC | 0.849 |
Video Quality Assessment | KoNViD-1k | ReLaX-VQA | https://arxiv.org/abs/2407.11496v3 | PLCC | 0.8473 |
Video Quality Assessment | KoNViD-1k | ReLaX-VQA (trained on LSVQ only) | https://arxiv.org/abs/2407.11496v3 | PLCC | 0.8427 |
Video Quality Assessment | KoNViD-1k | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | PLCC | 0.842 |
Video Quality Assessment | KoNViD-1k | 2BiVQA | https://arxiv.org/abs/2208.14774v3 | PLCC | 0.835 |
Video Quality Assessment | KoNViD-1k | BVQA-2022 | https://arxiv.org/abs/2108.08505v2 | PLCC | 0.834 |
Video Quality Assessment | KoNViD-1k | RAPIQUE | https://arxiv.org/abs/2101.10955v2 | PLCC | 0.8175 |
Video Quality Assessment | KoNViD-1k | VIDEVAL | https://arxiv.org/abs/2005.14354v2 | PLCC | 0.7803 |
Video Quality Assessment | KoNViD-1k | VSFA | https://arxiv.org/abs/1908.00375v3 | PLCC | 0.7754 |
Video Quality Assessment | KoNViD-1k | PVQ | https://arxiv.org/abs/2011.13544v2 | PLCC | 0.770 |
Video Quality Assessment | KoNViD-1k | TLVQM | https://ieeexplore.ieee.org/abstract/document/8742797 | PLCC | 0.7688 |
Video Quality Assessment | KoNViD-1k | ChipQA | https://arxiv.org/abs/2109.08726v1 | PLCC | 0.7625 |
Video Quality Assessment | LIVE-FB LSVQ | OneAlign + FAST-VQA | https://arxiv.org/abs/2312.17090v1 | PLCC | 0.900 |
Video Quality Assessment | LIVE-FB LSVQ | DOVER | https://arxiv.org/abs/2211.04894v3 | PLCC | 0.889 |
Video Quality Assessment | LIVE-FB LSVQ | OneAlign | https://arxiv.org/abs/2312.17090v1 | PLCC | 0.886 |
Video Quality Assessment | LIVE-FB LSVQ | FAST-VQA | https://arxiv.org/abs/2207.02595v1 | PLCC | 0.877 |
Video Quality Assessment | LIVE-FB LSVQ | FasterVQA | https://arxiv.org/abs/2210.05357v1 | PLCC | 0.874 |
Video Quality Assessment | LIVE-FB LSVQ | HVS-5M | https://arxiv.org/abs/2210.04158v1 | PLCC | 0.8723 |
Video Quality Assessment | LIVE-FB LSVQ | SimpleVQA | https://arxiv.org/abs/2204.14047v2 | PLCC | 0.861 |
Video Quality Assessment | LIVE-FB LSVQ | BVQA-2022 | https://arxiv.org/abs/2108.08505v2 | PLCC | 0.854 |
Video Quality Assessment | LIVE-FB LSVQ | DisCoVQA | https://arxiv.org/abs/2206.09853v1 | PLCC | 0.850 |
Video Quality Assessment | LIVE-FB LSVQ | PVQ | https://arxiv.org/abs/2011.13544v2 | PLCC | 0.827 |
Video Quality Assessment | LIVE-FB LSVQ | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | PLCC | 0.826 |
Video Quality Assessment | LIVE-FB LSVQ | CONVIQT | https://arxiv.org/abs/2206.14713v1 | PLCC | 0.820 |
Video Quality Assessment | LIVE-FB LSVQ | VIDEVAL | https://arxiv.org/abs/2005.14354v2 | PLCC | 0.783 |
Image Quality Assessment | MSU FR VQA Database | AHIQ | https://arxiv.org/abs/2204.10485v1 | SRCC | 0.937 |
Image Quality Assessment | MSU FR VQA Database | FSIM | https://ieeexplore.ieee.org/document/5705575 | SRCC | 0.9000 |
Image Quality Assessment | MSU FR VQA Database | DSS | https://ieeexplore.ieee.org/document/7351172 | SRCC | 0.8993 |
Image Quality Assessment | MSU FR VQA Database | MDSI | http://arxiv.org/abs/1608.07433v4 | SRCC | 0.8971 |
Image Quality Assessment | MSU FR VQA Database | MS-GMSD | https://ieeexplore.ieee.org/document/7952357 | SRCC | 0.8949 |
Image Quality Assessment | MSU FR VQA Database | GMSD | http://arxiv.org/abs/1308.3052v2 | SRCC | 0.8937 |
Image Quality Assessment | KonIQ-10k | RealQA | https://arxiv.org/abs/2503.06141v1 | SRCC | 0.948 |
Image Quality Assessment | KonIQ-10k | RealQA | https://arxiv.org/abs/2503.06141v1 | PLCC | 0.959 |
Image Quality Assessment | KonIQ-10k | OneAlign | https://arxiv.org/abs/2312.17090v1 | SRCC | 0.941 |
Image Quality Assessment | KonIQ-10k | OneAlign | https://arxiv.org/abs/2312.17090v1 | PLCC | 0.952 |
Image Quality Assessment | KonIQ-10k | UNIQA | https://arxiv.org/abs/2310.09560v2 | SRCC | 0.926 |
Image Quality Assessment | KonIQ-10k | UNIQA | https://arxiv.org/abs/2310.09560v2 | PLCC | 0.938 |
Image Quality Assessment | KonIQ-10k | KonCept512 | http://arxiv.org/abs/1803.08489v1 | SRCC | 0.921 |
Image Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | SRCC | 0.9148 |
Image Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | PLCC | 0.9238 |
Image Quality Assessment | MSU NR VQA Database | UNIQUE | http://arxiv.org/abs/1810.06631v2 | KLCC | 0.7648 |
Image Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | SRCC | 0.9104 |
Image Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | PLCC | 0.9106 |
Image Quality Assessment | MSU NR VQA Database | LINEARITY | https://arxiv.org/abs/2008.03889v1 | KLCC | 0.7589 |
Image Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | SRCC | 0.9004 |
Image Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | PLCC | 0.9068 |
Image Quality Assessment | MSU NR VQA Database | MUSIQ | https://arxiv.org/abs/2108.05997v1 | KLCC | 0.7433 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8822 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8814 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-S | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7186 |
Image Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8799 |
Image Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8855 |
Image Quality Assessment | MSU NR VQA Database | SPAQ BL | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7106 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | SRCC | 0.8794 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | PLCC | 0.8824 |
Image Quality Assessment | MSU NR VQA Database | SPAQ MT-A | http://openaccess.thecvf.com/content_CVPR_2020/html/Fang_Perceptual_Quality_Assessment_of_Smartphone_Photography_CVPR_2020_paper.html | KLCC | 0.7148 |
Image Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | SRCC | 0.8705 |
Image Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | PLCC | 0.8549 |
Image Quality Assessment | MSU NR VQA Database | PaQ-2-PiQ | https://arxiv.org/abs/1912.10088v1 | KLCC | 0.7079 |
Image Quality Assessment | MSU NR VQA Database | NIMA | http://arxiv.org/abs/1709.05424v2 | SRCC | 0.8494 |
Image Quality Assessment | MSU NR VQA Database | NIMA | http://arxiv.org/abs/1709.05424v2 | PLCC | 0.8784 |
Image Quality Assessment | MSU NR VQA Database | NIMA | http://arxiv.org/abs/1709.05424v2 | KLCC | 0.6745 |
Image Quality Assessment | MSU NR VQA Database | KonCept512 | http://arxiv.org/abs/1803.08489v1 | SRCC | 0.8360 |
Image Quality Assessment | MSU NR VQA Database | KonCept512 | http://arxiv.org/abs/1803.08489v1 | PLCC | 0.8464 |
Image Quality Assessment | MSU NR VQA Database | KonCept512 | http://arxiv.org/abs/1803.08489v1 | KLCC | 0.6608 |
Image Quality Assessment | MSU NR VQA Database | MEON | null | SRCC | 0.5066 |
Image Quality Assessment | MSU NR VQA Database | MEON | null | PLCC | 0.2898 |
Image Quality Assessment | MSU NR VQA Database | MEON | null | KLCC | 0.3755 |
Image Quality Assessment > No-Reference Image Quality Assessment | LIVE | UNIQA | https://arxiv.org/abs/2310.09560v2 | SRCC | 0.986 |
Image Quality Assessment > No-Reference Image Quality Assessment | LIVE | UNIQA | https://arxiv.org/abs/2310.09560v2 | PLCC | 0.986 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | SRCC | 0.98 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | PLCC | 0.98 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | UNIQA | https://arxiv.org/abs/2310.09560v2 | SRCC | 0.944 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | UNIQA | https://arxiv.org/abs/2310.09560v2 | PLCC | 0.946 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | SRCC | 0.934 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | CONTRIQUE | https://arxiv.org/abs/2110.13266v1 | PLCC | 0.937 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | ARNIQA | https://arxiv.org/abs/2310.14918v2 | SRCC | 0.908 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | ARNIQA | https://arxiv.org/abs/2310.14918v2 | PLCC | 0.912 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | Re-IQA | https://arxiv.org/abs/2304.00451v2 | SRCC | 0.872 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | Re-IQA | https://arxiv.org/abs/2304.00451v2 | PLCC | 0.885 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | TReS | https://arxiv.org/abs/2108.06858v2 | SRCC | 0.859 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | TReS | https://arxiv.org/abs/2108.06858v2 | PLCC | 0.858 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | HyperIQA | http://openaccess.thecvf.com/content_CVPR_2020/html/Su_Blindly_Assess_Image_Quality_in_the_Wild_Guided_by_a_CVPR_2020_paper.html | SRCC | 0.852 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | HyperIQA | http://openaccess.thecvf.com/content_CVPR_2020/html/Su_Blindly_Assess_Image_Quality_in_the_Wild_Guided_by_a_CVPR_2020_paper.html | PLCC | 0.845 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | DB-CNN | https://arxiv.org/abs/1907.02665v1 | SRCC | 0.851 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | DB-CNN | https://arxiv.org/abs/1907.02665v1 | PLCC | 0.856 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | BRISQUE | https://ieeexplore.ieee.org/document/6272356 | SRCC | 0.528 |
Image Quality Assessment > No-Reference Image Quality Assessment | KADID-10k | BRISQUE | https://ieeexplore.ieee.org/document/6272356 | PLCC | 0.567 |
Image Quality Assessment > No-Reference Image Quality Assessment | SPAQ | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | SRCC | 0.93 |
Image Quality Assessment > No-Reference Image Quality Assessment | SPAQ | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | PLCC | 0.93 |
Image Quality Assessment > No-Reference Image Quality Assessment | KonIQ-10k | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | SRCC | 0.94 |
Image Quality Assessment > No-Reference Image Quality Assessment | KonIQ-10k | RvTC (image-only) | https://arxiv.org/abs/2507.14997 | PLCC | 0.95 |
Image Quality Assessment > No-Reference Image Quality Assessment | 200k Short Texts for Humor Detection | davido | http://arxiv.org/abs/1411.5014v1 | 14 gestures accuracy | kindness |
Image Quality Assessment > No-Reference Image Quality Assessment | TID2013 | UNIQA | https://arxiv.org/abs/2310.09560v2 | SRCC | 0.953 |
Image Quality Assessment > No-Reference Image Quality Assessment | TID2013 | UNIQA | https://arxiv.org/abs/2310.09560v2 | PLCC | 0.956 |
Image Quality Assessment > No-Reference Image Quality Assessment | TID2013 | ARNIQA | https://arxiv.org/abs/2310.14918v2 | SRCC | 0.880 |
Image Quality Assessment > No-Reference Image Quality Assessment | TID2013 | ARNIQA | https://arxiv.org/abs/2310.14918v2 | PLCC | 0.901 |
Image Quality Assessment > No-Reference Image Quality Assessment | TID2013 | TReS | https://arxiv.org/abs/2108.06858v2 | SRCC | 0.863 |
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